Khan, B., Valencia-Palomo, G., Rossiter, J.A. et al. (2 more authors) (2015) Long horizon input parameterisations to enlarge the region of attraction of MPC. Optimal Control, Applications and Methods, 37 (1). pp. 139-153. ISSN 0143-2087
Abstract
In this paper, the efficacy of structured and unstructured parameterisations of the degree of freedom within a predictive control algorithm is investigated. While several earlier papers investigated the enlargement of the region of attraction using structured prediction dynamics, little consideration has been given to the potential of unstructured parameterisations to handle the trade-off between the region of attraction, performance and computational burden. This paper demonstrates how unstructured dynamics can be both selected and used effectively and furthermore gives a comparison with structured methods.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2014 Wiley. This is an author produced version of a paper subsequently published in Optimal Control Applications and Methods. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Alternative parameterisation; MPC; Region of attraction; Performance; Computational burden |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 24 Mar 2016 15:48 |
Last Modified: | 26 Mar 2018 21:55 |
Published Version: | https://dx.doi.org/10.1002/oca.2158 |
Status: | Published |
Publisher: | Wiley |
Identification Number: | 10.1002/oca.2158 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:96904 |